On 2WikiMultihopQA with BM25 augmentation and a dataset-specific retrained predictor, neither always-on nor targeted augmentation meaningfully changes the 78.8% baseline accuracy.

On 2WikiMultihopQA with BM25 augmentation and a dataset-specific retrained predictor, neither always-on nor targeted augmentation meaningfully changes the 78.8% baseline accuracy. · CiteArk

Measurement results

0/9 assessed

0 supported0 disputed or conflicting9 not assessed

The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.

Each row is a measurement with its reported value, latest available observation, and cumulative evidence state.
Metric and conditions	Reported	Latest observation	Evidence judgment
condition: Baseline	78.8%	—	Not assessed
condition: Baseline	0%	—	Not assessed
condition: Baseline	0 calls/question	—	Not assessed
condition: Always	78.7%	—	Not assessed
condition: Always	100%	—	Not assessed
condition: Always	2.15 calls/question	—	Not assessed
condition: DeBERTa targeted	78.9%	—	Not assessed
condition: DeBERTa targeted	54.1%	—	Not assessed
condition: DeBERTa targeted	1.16 calls/question	—	Not assessed

On 2WikiMultihopQA with BM25 augmentation and a dataset-specific retrained predictor, neither always-on nor targeted augmentation meaningfully changes the 78.8% baseline accuracy.

Reported and observed measurements

Assessments (0)

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Measurement results